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单细胞代谢组学:100、1000 和 10000 个人乳腺癌细胞的代谢组学分析。

Metabolomics of Small Numbers of Cells: Metabolomic Profiling of 100, 1000, and 10000 Human Breast Cancer Cells.

机构信息

Department of Chemistry, University of Alberta , Edmonton, Alberta T6G 2G2, Canada.

出版信息

Anal Chem. 2017 Nov 7;89(21):11664-11671. doi: 10.1021/acs.analchem.7b03100. Epub 2017 Oct 26.

Abstract

In cellular metabolomics, it is desirable to carry out metabolomic profiling using a small number of cells in order to save time and cost. In some applications (e.g., working with circulating tumor cells in blood), only a limited number of cells are available for analysis. In this report, we describe a method based on high-performance chemical isotope labeling (CIL) nanoflow liquid chromatography mass spectrometry (nanoLC-MS) for high-coverage metabolomic analysis of small numbers of cells (i.e., ≤10000 cells). As an example, C-/C-dansyl labeling of the metabolites in lysates of 100, 1000, and 10000 MCF-7 breast cancer cells was carried out using a new labeling protocol tailored to handle small amounts of metabolites. Chemical-vapor-assisted ionization in a captivespray interface was optimized for improving metabolite ionization and increasing robustness of nanoLC-MS. Compared to microflow LC-MS, the nanoflow system provided much improved metabolite detectability with a significantly reduced sample amount required for analysis. Experimental duplicate analyses of biological triplicates resulted in the detection of 1620 ± 148, 2091 ± 89 and 2402 ± 80 (n = 6) peak pairs or metabolites in the amine/phenol submetabolome from the C-/C-dansyl labeled lysates of 100, 1000, and 10000 cells, respectively. About 63-69% of these peak pairs could be either identified using dansyl labeled standard library or mass-matched to chemical structures in human metabolome databases. We envisage the routine applications of this method for high-coverage quantitative cellular metabolomics using a starting material of 10000 cells. Even for analyzing 100 or 1000 cells, although the metabolomic coverage is reduced from the maximal coverage, this method can still detect thousands of metabolites, allowing the analysis of a large fraction of the metabolome and focused analysis of the detectable metabolites.

摘要

在细胞代谢组学中,为了节省时间和成本,人们希望使用少量细胞进行代谢组学分析。在某些应用中(例如,在血液中研究循环肿瘤细胞),可供分析的细胞数量有限。在本报告中,我们描述了一种基于高效化学同位素标记(CIL)纳流液相色谱-质谱联用(nanoLC-MS)的方法,用于对少量细胞(即≤10000 个细胞)进行高覆盖代谢组分析。例如,采用专门针对处理少量代谢物而设计的新标记方案,对 MCF-7 乳腺癌细胞裂解物中的 C-/C-丹磺酰化代谢物进行 C-/C-丹磺酰化标记。在俘虏喷雾接口中进行化学蒸气辅助电离,以优化代谢物的离子化并提高 nanoLC-MS 的稳健性。与微流速 LC-MS 相比,纳流系统在分析所需的样品量显著减少的情况下,大大提高了代谢物的可检测性。对生物重复分析的实验重复分析结果表明,在 C-/C-丹磺酰化标记的 100、1000 和 10000 个细胞裂解物中,胺/酚亚代谢组中分别检测到 1620±148、2091±89 和 2402±80(n=6)个峰对或代谢物。使用丹磺酰化标准文库鉴定或质量匹配到人代谢组数据库中的化学结构后,可鉴定出其中约 63-69%的峰对。我们设想使用 10000 个细胞作为起始材料,对该方法进行常规高通量细胞代谢组学分析。即使对 100 或 1000 个细胞进行分析,虽然代谢组覆盖范围会从最大覆盖范围减少,但该方法仍可检测数千种代谢物,从而允许对代谢组的大部分进行分析,并对可检测代谢物进行重点分析。

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